Antarctica Capital: Data Scientist / ML Engineer
EarthDaily Analytics
Pursue exciting challenges as a Data Scientist/Machine Learning Engineer with Antarctica Capital. This fully remote role focuses on enhancing machine learning systems for bond risk analysis.
We are looking for an expert with a minimum of 7 years in machine learning, proficient in Python, and experienced with AWS. Collaborate closely on existing neural network models, implement improvements, and contribute to firm-wide ML methodologies. Embrace the fast-paced, agile environment to drive impactful change and innovation.
Key Responsibilities:
• Collaborate in refactoring existing neural network
• Deploy production-ready machine learning solutions
• Work with data scientists to build comprehensive systems
• Establish and manage data pipelines and infrastructure
• Conduct performance evaluations and optimizations
Requirements:
• 7+ years in machine learning model building
• Hands-on experience with Pytorch and TensorFlow
• Proficiency in AWS and cloud deployment
• Strong understanding of software engineering
• Experience with large-scale data technologies
Enhance your skills in a rewarding setting at Antarctica Capital, making significant contributions to ML development.
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Vacancy posted 3 days ago
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